Abstract: The present disclosure relates to systems, non-transitory computer-readable media, and methods for utilizing a digital permission mapping model to dynamically map entity members to digital survey resource permission roles based on metadata corresponding to the entity members. In particular, in one or more embodiments, the disclosed systems implement permissions based on identification of various resource classes and attribute values corresponding to the digital resources. The disclosed systems can compare survey resource classes, survey attribute categories, and attribute values of requested digital survey resources to the resource permission role of a requesting entity member. The disclosed systems can manage the digital content based on the digital survey resource permission role and these determined comparisons.

Abstract: The present disclosure relates to a question recommendation system that intelligently optimizes a survey being created by a user by providing customized suggestions. For example, in one or more embodiments, the question recommendation system provides a suggested question based on questions previous added by a user while creating a survey. In particular, the question recommendation system provides various recommendations to the user to further optimize a survey being created. For instance, the question recommendation system provides recommendations with respect to improving question ordering, question phrasing, and question type as well as recommends removing potentially inefficient questions.

Abstract: Embodiments of the present disclosure relate generally to distributing a survey created for a first distribution channel across multiple distribution channels. More specifically, one or more embodiments of the present disclosure relate to providing a user with the ability to create a survey for one distribution channel and automatically provide the survey across multiple distribution channels. Further, one or more embodiments of the present disclosure improves survey administration by collecting responses to the survey from across the various distribution channels, compiling the responses, and providing the overall results of the survey to the user.

Abstract: This disclosure covers systems and methods that administer a digital survey to respondents who interact with a biometric sensor to collect and convert biometric data into behavioral and physical characteristics of the respondents. In certain embodiments, by converting biometric data into respondent characteristics, the disclosed systems and methods identify various unwritten or nonverbal responses of survey respondents who respond to a digital survey or who interact with a display medium that captures survey data. To facilitate review of respondents' characteristics and responses, in some embodiments, the disclosed systems and methods further categorize the converted respondent characteristics within a response database for the digital survey.

Abstract: This disclosure relates to methods, non-transitory computer readable media, and systems that relay domain-event objects within an enhanced multi-platform data stream to listen for and react to digital events indicated by the domain-event objects that occur across a wide variety of computing platforms. Specifically, the disclosed systems can receive domain-event objects within the multi-platform data stream. From among the domain-even objects transmitted through the multi-platform data stream, the disclosed systems can identify a domain-event object that is relevant to a digital-analytics platform by identifying domain-event objects that include properties satisfying domain-event-listener rules. Based on an entity identifier and an object event from the relevant domain-event object, the disclosed systems can perform a platform action within the digital-analytics platform (e.g., to react to a change in another platform as indicated by the domain-event object).

Abstract: This disclosure covers systems and methods that retrieve and transform a requested dataset into a data shape that a widget specifies for visualization. In certain embodiments, the disclosed systems and methods respond to data requests for widgets by retrieving datasets formatted according to different data models for different platforms. The systems and methods then transform the datasets into a data shape specified by the widgets. By transforming requested datasets to conform to data shapes specified by widgets, the disclosed systems and methods orchestrate the update of a widget (or multiple instances of a widget) with data that originally conformed to different data models and, in some cases, was formatted for different software applications.

Abstract: The present disclosure relates to systems, methods, and non-transitory computer readable media for generating a predicted response to a digital survey question and identifying digital survey questions to remove from a digital survey. For example, the disclosed systems can reduce the number of digital survey questions distributed as part of a digital survey by identifying and removing similar digital survey questions. In addition, the disclosed systems can generate a predicted response to an unprovided digital survey question based on determining relationships between respondents. Further, based on respondent relationships, the disclosed systems can identify digital survey questions that a respondent is likely to answer and can provide the digital survey questions to a respondent device of the respondent.

Abstract: The present disclosure relates to systems, non-transitory computer-readable media, and methods that provide a graphical user interface for intuitively generating digital action sequences across one or more digital platforms. For example, the disclosed systems generate graphical user interfaces with tools to construct digital action sequences of platform actions performed based on event triggers. To facilitate building such digital action sequences, in some cases, the disclosed systems provide data for digital-action-sequence templates for easy selection of pre-matched event triggers and platform actions or tools to mix-and-match combinations of specific event triggers and platform actions. By providing such intuitive tools in a centralized graphical user interface, the disclosed systems can connect events across multiple platforms or across disconnected components of a single platform.

Abstract: This disclosure relates to methods, non-transitory computer readable media, and systems that use machine-learning techniques to facilitate the creation, timing of distribution, or follow-up actions for digital surveys. In one such implementation, the disclosed methods, non-transitory computer readable media, and systems use a survey-creation-machine learner to generate suggested survey questions for an administrator designing a digital survey. Additionally, in some implementations, the disclosed methods, non-transitory computer readable media, and systems use specialized machine learners to suggest timeframes in which to send digital surveys or to suggest action items to follow up on responses to the survey questions.

Abstract: The present disclosure relates to systems, non-transitory computer-readable media, and methods for maintaining the anonymity of survey respondents while providing useful data to an analyst. In particular, in one or more embodiments, the disclosed systems utilize various anonymity protections based on various anonymity thresholds. For example, the presently disclosed systems and methods may disallow or modify potentially identifying data filters, including generating alternate data groupings. Further, the systems and methods may modify text responses to reduce identification risk.

Abstract: Embodiments of the present disclosure relate to customizing an electronic survey using social networking information. One or more embodiments of a survey system receive social networking information associated with a respondent from a third-party social networking system in connection with a request to provide a survey to a client device of the respondent. One or more embodiments of the survey system use the social networking information to determine a plurality of survey questions for the electronic survey. Additionally, one or more embodiments of the survey generate a customized electronic survey to include the plurality of survey questions and then provide the customized survey to the respondent's client device.

Abstract: Embodiments of the present disclosure relate to administration of an electronic survey via third-party content. For example, an electronic survey system receives a request to provide an electronic survey within a survey placeholder of a third-party webpage provided to a client device associated with a respondent. The survey system determines characteristics of the webpage or the respondent. The survey system then selects an electronic survey by comparing the characteristics of available electronic surveys to the characteristics of the webpage or the respondent. Additionally, the survey system provides electronic questions from the selected electronic survey for display within the survey placeholder of the webpage. The survey system also administers the electronic survey within the survey placeholder without redirecting the respondent client device away from the third-party webpage.

Abstract: Embodiments of the present disclosure relate generally to organizing electronic text documents. In particular, one or more embodiments comprise a content management system that improves the organization of electronic text documents by intelligently and accurately categorizing electronic text documents by topic. The content management system organizes electronic text documents based on one or more topics, without the need for a human reviewer to manually classify each electronic text document, and without the need for training a classification algorithm based on a set of manually classified electronic text documents. Further, the content management system identifies and suggests topics for electronic text documents that relate to new or emerging topics.

Abstract: Embodiments of the present disclosure generally relate to organizing textual responses, such as survey responses. More specifically, one or more embodiments of the present disclosure provide a reviewer with textual responses that are prioritized according to usefulness. As an example, one or more embodiments of the present disclosure provide a reviewer with a notability value that provides an indication of the usefulness and/or interestedness of a response in relation to other responses for a particular open or textual type question.

Abstract: The present disclosure relates to systems, non-transitory computer-readable media, and methods for efficiently providing a graphical user interface for visualizing large amounts of data on a single interface. In particular, in one or more embodiments, the disclosed systems utilize topic hierarchies and multidata display elements to intuitively present many types of data for many topics on a single interface. The system also uses an activatable timeline to visualize changes to large amounts of data over time.

Abstract: The present disclosure relates to a digital experience system that non-intrusively obtains valuable user feedback by strategically prompting users for feedback during a user's journey of a digital content experience. For example, in one or more embodiments, the digital experience system detects when various discrete touchpoints are triggered throughout a user's journey. In response to detection a triggered touchpoint, the digital experience system can provide the user with a prompt from a template of prompts. In this manner, the digital experience system can receive valuable and meaningful feedback from users without disrupting the user's digital content experience. Indeed, the digital experience system enhances the content experience for the user by providing prompts to the user throughout the user's journey of the content experience.

Abstract: Embodiments of the present disclosure relate generally to generating, conducting, and reporting digital surveys utilizing augmented reality devices and/or virtual reality devices. In particular, in one or more embodiments, the disclosed systems and methods assist administrators in generating digital surveys utilizing interactive virtual environments via a virtual reality device and/or augmented reality elements via an augmented reality device. Similarly, the disclosed systems and methods can provide digital surveys via augmented reality devices and/or virtual reality devices, for instance, by monitoring user interactions via the augmented reality and/or virtual reality devices and providing digital surveys based on the monitored user interactions. Furthermore, the disclosed systems and methods can present survey results and allow administrators to interact with survey results utilizing augmented reality devices and/or virtual reality devices.

Abstract: The present disclosure relates to a response analysis system that employs a small-data training dataset to train a neural network that accurately performs domain-agnostic opinion mining. For example, in one or more embodiments, the response analysis system trains a response classification neural network using part of speech information (e.g., syntactic information) to learn and apply response classification labels for opinion text responses. In particular, the response analysis system employs part of speech information patterns without regard to word patterns to determine whether words in a text response correspond to an opinion, the target of the opinion, or neither. In addition, the trained response classification neural network has a significantly reduced learned parameter space, which decreases processing, memory requirements, and overall complexity.

Abstract: Embodiments of the present disclosure generally relate to a content management system that automatically determines and generates topic clusters from a collection of electronic text documents. For example, the content management system analyzes a collection of electronic text documents to identify key terms and terms related to the key terms. Based on the key terms and related terms, the content management system generates a topic cluster that includes the key term and related terms. The content management system then organizes the electronic text documents based on terms within a given text document matching terms within a given topic cluster. Further, the content management system presents the topic clusters and organized electronic text documents to a user.

Abstract: This disclosure relates to methods, non-transitory computer readable media, and systems apply machine-learning techniques and computational sentiment analysis to summarize sentences extracted from a group of textual responses or to select representative-textual responses from the group of textual responses. By using a response-extraction-neural network to extract (and sometimes paraphrase) sentences from textual responses, the disclosed methods, non-transitory computer readable media, and systems can generate a response summary of textual responses based on sentiment indicators corresponding to the textual responses. By applying a machine-learning classifier to generate textual quality scores for textual responses, the disclosed methods, non-transitory computer readable media, and systems select representative-textual responses from a group of textual responses based on relevancy parameters and sentiment indicators corresponding to the textual responses.